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DuoDepth: Static Gesture Recognition with Dual Depth Sensors

Citation Author(s):
Ilya Chugunov, Avideh Zakhor
Submitted by:
Ilya Chugunov
Last updated:
21 September 2019 - 2:36am
Document Type:
Poster
Document Year:
2019
Event:
Presenters Name:
Ilya Chugunov
Paper Code:
10.1109/ICIP.2019.8803665
Categories:

Abstract 

Abstract: 

Static gesture recognition is an effective non-verbal communication channel between a user and their devices; however many modern methods are sensitive to the relative pose of the user’s hands with respect to the capture device, as parts of the gesture can become occluded. We present two methodologies for gesture recognition via synchronized recording from two depth cameras to alleviate this occlusion problem. One is a more classic approach using iterative closest point registration to accurately fuse point clouds and a single PointNet architecture for classification, and the other is a dual PointNet architecture for classification without registration. On a manually collected data-set of 20,100 point clouds we show a 39.2% reduction in misclassification for the fused point cloud method, and 53.4% for the dual PointNet, when compared to a standard single camera pipeline.

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DuoDepth ICIP 2019 Poster

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